Email updates

Keep up to date with the latest news and content from BMC Molecular Biology and BioMed Central.

Open Access Highly Accessed Research article

Selection of reliable reference genes during THP-1 monocyte differentiation into macrophages

Marten B Maeß, Stefanie Sendelbach and Stefan Lorkowski*

Author Affiliations

Institute of Nutrition, Friedrich Schiller University Jena, Dornburger Str. 25, 07743 Jena, Germany

For all author emails, please log on.

BMC Molecular Biology 2010, 11:90  doi:10.1186/1471-2199-11-90

Published: 1 December 2010

Additional files

Additional file 1:

Table S1. Gene product function and GO annotation of the genes used as potential reference genes and CD36. Information was obtained from the NCBI resource http://www.ncbi.nlm.nih.gov/ webcite and the Gene Ontology website http://www.geneontology.org/ webcite.

Format: PDF Size: 99KB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data

Additional file 2:

Figure S1. Summary of observed variances of Cq values of the 21 preselected potential reference genes. For each potential reference gene the observed variances of Cq values at each day of differentiation of THP-1 monocytes to macrophages are shown. Squares indicate mean values. Bars represent standard deviations.

Format: TIFF Size: 19.8MB Download file

Open Data

Additional file 3:

Figure S2. Determination of the number of genes required for calculating GeNorm normalization factor. Variances of pairwise combined normalization factors were calculated in order to determine which genes had to be considered for inclusion into the GeNorm normalization factor. Each bar represents the variance of the normalization factors when an additional gene is included into the calculation; the starting set of normalization factors is calculated from the two most stable genes (ACTB and RPL37A). Further genes are included according to the stability ranking calculated previously; according to Vandesompele et al. further genes are recommended to be included until the variance is below 0.15 [1]. Reference [1] Vandesompele J, De Preter K, Pattyn F, Poppe B, Van Roy N, De Paepe A, Speleman F: Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes. Genome Biol 2002, 3:research0034.1-0034.11.

Format: PDF Size: 19KB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data

Additional file 4:

Figure S3. NormFinder analysis showing logarithmic intergroup and intragroup variances of the 21 preselected reference genes and CD36. NormFinder application was used to calculate inter- and intragroup variances as an estimate of gene stability [2]. Squares indicate intergroup variance. Bars represent intragroup variance. Two distinct groups were defined: Group 1 is constituted of expression data measured for undifferentiated THP-1 monocytes; group 2 combines all expression data of differentiating and differentiated THP-1 macrophages. A gene's stability is represented by the distance of the respective square from the horizontal line at 0. Reference [2] Lindbjerg CA, Jensen JL, Ørntoft TF: Normalization of real-time quantitative reverse transcription-PCR data: A model-based variance estimation approach to identify genes suited for normalization, applied to bladder and colon cancer data sets. Cancer Res 2004, 64:5245-5250.

Format: PDF Size: 12KB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data

Additional file 5:

Table S2. 260/280 and 260/230 ratios for assessment of RNA quality. RNA quality was assessed photometrically using an Eppendorf BioPhotometer plus.

Format: PDF Size: 52KB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data